Why do women make up 70 per cent of chronic pain cases? You can't see chronic pain making it complicated to treat or diagnose. What to do about the so-called 'silent epidemic' disproportionally ...

Chemists and computer scientists tapped AI to find new disinfectants to combat the growing threat of dangerous "superbugs." The Journal of Chemical Information and Modeling published their ...

Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis.

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Computers are extremely good with numbers, but they haven’t gotten many human mathematicians fired. Until recently, they could barely hold their own in high school-level math competitions. But now ...

We introduce a geometric semantic model designed to capture fine-grained semantic representations in a multidimensional space. Building on this model, we develop a novel annotation framework that ...

Sparsification, or the excision of neural connections during training, is an important technique for training compute efficient deep neural networks. Neural nets used across applications are heavily ...

Graphs are used as a model of complex relationships among data in biological science since the advent of systems biology in the early 2000. In particular, graph data analysis and graph data mining ...

Curious Kids is a series for children of all ages. If you have a question you’d like an expert to answer, send it to curiouskidsus@theconversation.com. Will I ever need math besides for school or work ...

Networks are finite metric spaces, with distances defined by the shortest paths between nodes. However, this is not the only form of network geometry: two others are the geometry of latent spaces ...

As categorification sweeps the land, it hits some areas sooner than others. While it’s had a big impact on fancy forms of mathematical physics like ‘topological quantum field theory’, it hasn’t yet ...